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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Qutrit Randomized Benchmarking.

A Morvan1,2, V V Ramasesh1, M S Blok1,3

  • 1Quantum Nanoelectronics Laboratory, Department of Physics, University of California at Berkeley, Berkeley, California 94720, USA.

Physical Review Letters
|June 11, 2021
PubMed
Summary
This summary is machine-generated.

Researchers adapted qubit randomized benchmarking (RB) for ternary quantum processors. This new method effectively benchmarks qutrit performance, revealing an average single-qutrit infidelity of 3.8×10⁻³.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing Hardware

Background:

  • Ternary quantum processors utilize qutrits (three-level systems) for enhanced computational power.
  • Evaluating and comparing qutrit-based quantum hardware necessitates specialized benchmarking techniques for higher-dimensional Hilbert spaces.

Purpose of the Study:

  • To adapt and demonstrate industry-standard randomized benchmarking (RB) protocols for ternary quantum logic.
  • To establish robust methods for characterizing the performance of qutrit processors.

Main Methods:

  • Extension of standard qubit randomized benchmarking (RB) protocols to accommodate ternary quantum logic.
  • Application of interleaved and simultaneous RB for characterizing single- and two-qutrit gates and crosstalk errors.
  • Utilizing cycle benchmarking to assess specific two-qutrit gates.

Main Results:

  • Demonstrated successful adaptation of RB protocols for qutrit systems.
  • Achieved an average single-qutrit process infidelity of 3.8×10⁻³ on a superconducting five-qutrit processor.
  • Obtained a two-qutrit process fidelity of 0.85 for a CSUM gate.

Conclusions:

  • RB-based tools are effective for characterizing qutrit processor performance.
  • The presented approach offers a general method for diagnosing control errors in future qudit hardware.